M.S. in Data Analytics

The Master of Science in Data Analytics at Rowan University includes a specialization in Health Data Analytics and is intended for health care industry professionals or those seeking to establish a career in the biomedical, hospital, clinical research, tele-health, and pharmaceutical fields. Graduates of the program may also pursue further advanced graduate degrees in a STEM discipline or in health related fields such as epidemiology or implementation research. The program is based on industry needs, as well as guidelines of the Commission on Accreditation for Health Informatics and information Management Education (CAHIIM) and of the Technology Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET). Students will be prepared to use algorithms, statistics, and technology to make informed decisions from massive amounts of data, to manage streamed data or data stored in massive data warehouses and to visually analyze and present information. Also, as a result of this program, students will be able to apply data analytics in healthcare industry specializations to process and to analyze complex and voluminous healthcare, pharmaceutical and clinical research data.


The M.S. in Data Analytics program consists of 11 courses and a total of 30 graduate semester hours (s.h.). Students may enroll in this program part-time or full-time.

Foundation Courses
Applicants must have successfully completed the following courses (or their equivalents) at an accredited institution: Calculus II, Probability and Statistical Inference for Computing Systems, Linear Algebra, Introduction to Object-Oriented Programming or Computer Science and Programming, and Data Structures and Algorithms or Data Structures for Engineers.


The following courses make up the M.S. in Data Analytics program. 

  • Required Courses: 12 semester hours (s.h.)
  • Core Courses: 12 semester hours (s.h.)
  • Elective Courses: 6 semester hours (s.h.)
Required Courses
Course Number
S.H. (Credits)
DA 02510 Visual Analytics 3
DA 02515 Data Warehousing 3
DA 02505 Data Mining I 3
STAT 02515 Applied Multivariate Data Analysis 3
Core Courses
Course Number
S.H. (Credits)
DA 03510 Patient Data Understanding 3
DA 03505 Data Quality and Web/Text Mining 3
DA 01505 Data Analytics Capstone Practicum 4
DA 01510 Data Analytics Laboratory I 1
DA 01511 Data Analytics Laboratory II 1
Elective Courses
Course Number
S.H. (Credits)
DA 03515 Patient Data Privacy & Ethics 3
DA 03520 Healthcare Management 3
STAT 02525 Design and Analysis of Experiments 3
CS 07570 Information Visualization 3
CS 07523 Advanced Software Engineering 3
DA 02605 Data Mining II 3
CS 07556 Machine Learning 3
ECE 09555 Advanced Topics In Pattern Recognition 3
STAT 02514 Decision Analysis 3
Total Program Semester Hours: 30

Admissions Requirements

The following is a list of items required to begin the application process for the program. There may be additional action or materials required for admission to the program. Upon receipt of the materials below a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or indicating any missing items.

  • $65 (U.S.) non-refundable application fee

  • Bachelor's degree (or its equivalent) from an accredited institution of higher learning

  • Official transcripts from all colleges attended (regardless of number of credits earned)

  • Current professional resume

  • Typewritten statement of professional objectives

    • Provide reasons for pursuing the program. Describe how you might use this program to advance your career (educational goals beyond the master's level, if applicable, are also relevant).
  • Two letters of recommendation

    • While the official Recommendation Form is required, an actual letter from the recommender is preferred.
  • Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)

  • Submission of official GRE test results is highly recommended

Start Dates & Application Deadlines

The chart below details available entry terms for the M.S. in Data Analytics program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.

Entry Term Start Date Application Deadline
Fall 2019 09/03/2019 07/01/2019
Spring 2020 01/21/2020 11/01/2019

Tuition & Costs

Rate Fees Per Semester Hour
$700 $157.90 $857.90